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My take from video - Link
Phase I: The Importance of Titles
Phase II: Embrace Risk on the Road to Titles
Phase III: Deliver Impact, Titles Will Follow
#humanoids = #llm powered decisions + #robotics + custom models trained for specific tasks, Build custom models to suit specific needs https://t.co/sxcaqCk46U
— Siva (@sivaram2k10) May 12, 2024
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In an era where innovation propels us forward, the history of automobiles and airplanes serves as a powerful reminder of human ingenuity and resilience. These inventions, perfected over decades, symbolize our capacity to adapt and trust in both progress and the individuals behind it. Just as we have placed our trust in these revolutionary technologies, it is imperative that we apply the same open-mindedness and commitment to the world of personal and professional development—especially in emerging fields like AI.
Learning as a Natural Process
Learning, particularly in artificial intelligence, should not be treated as an imposition but rather as a natural extension of our innate curiosity and growth. Constraining this process to fixed timelines or comparisons only hampers the genuine learning experience. Instead, the focus should be on addressing challenges that resonate personally, which ensures a more authentic and impactful engagement with the subject matter.
The Power of Continuous Improvement
One of the most empowering aspects of learning is that it does not require formal recognition or titles. True learning comes from a steadfast commitment to experiment, fail, collaborate, and relearn. By prioritizing personal skills and interests, each individual paves their own unique path towards their goals. This journey enriches not only the learner but also those around them, transforming interactions and leading to mutual progress.
Failure is Okay, Experience and Journey matters
Moreover, undergoing failures—be they in products or personal lessons—are crucial in shaping a more empathetic and knowledgeable individual. These experiences teach resilience and provide unique insights that can be shared with others. In doing so, a learner evolves from a mere participant in their field to a mentor and leader who uplifts and educates, rather than exploiting the potential of others.
Keep Learning
Embrace the process of learning as you would trust the safety of a car or a plane. Dive deep into your passions, allow yourself the freedom to fail, and rise with a richer understanding and capability to contribute positively.
Remember: the journey of learning should be liberating, not limiting. Let's commit to making learning a part of our lifestyle—to continuously develop skills that drive us towards our ultimate destinations.
Keep learning, growing, and influencing. The road ahead is as exciting as you choose to make it.!!!
Beautiful Lines from the post
Brilliant talk, Loved it. Do not play politics, build on your values.
Thanks for highlighting my quote, Brilliant talk.
Professional Growth Must Come from Personal Growth" was a brilliant talk. It focused on understanding career growth versus values versus visibility. Often, it's a mix of factors that contribute to growth: contribution, visibility, and access to high-value work. Everything involves teamwork. Growth stems from self-centered visibility versus growing as a team; both are traits of a leader, whether selfish or selfless.
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You don't need a title to learn/work in data science
You don't need to start with what everyone is recommending.
Focus on a few areas of AI, not the complete landscape.
Seek out mentors to guide you.
Learn by collaborating, solving problems, and asking for help in AI-related issues.
Do not believe that the growth path is the same for everyone; avoid a copycat approach.
Sometimes, you need to work without titles to really excel in your areas of interest.
Experiment / Look for Real-time problem-solving, and proposing solutions
Be resilient setbacks are okay, Pause and find alternate solutions
Consistently seek understanding and clarity.
Roll up your sleeves, not all the time, but only for meaningful AI work. Remember, you are not a machine. Strive at a consistent pace.
Learn to differentiate Pro AI vs AI Hype and develop intuition to spot it
In the corporate world, navigating the hierarchy of influence often poses a challenge, particularly when it comes to balancing the time required to sell personal ideas against completing assigned tasks. Jobs typically compensate us for specific deliverables, not for the incubation or pitching of our innovative ideas.
The process of advancing personal ideas depends heavily on the organizational culture. When there is genuine acceptance and support for innovation, pushing personal concepts becomes not only feasible but also encouraged. However, more often than not, we encounter environments where ideas are welcomed in discussions, but follow-up and implementation fade away, lost to immediate business priorities.
In such scenarios, one may feel compelled to take on a solopreneurial approach. This involves stepping away from the structured organizational roles and exploring the uncertain waters of individual innovation. By adopting the role of a solopreneur, we give ourselves the opportunity to fully develop and test our ideas without the restrictions and influences of corporate agendas.
Living through this uncertainty requires resilience. It isn't merely about having a groundbreaking idea; it's also about having the tenacity to bring that idea to MVP amid fluctuating circumstances. As solopreneurs, we maneuver through diverse challenges, test our limits, and learn invaluable lessons about both our crafts and ourselves.
The Journey is the Experience and the wealth is the Learning
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Coach / Code / Innovate